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Hierarchical Equilibria of Branching Populations

  
@article{EJP200,
	author = {Donald Dawson and Luis Gorostiza and Anton Wakolbinger},
	title = {Hierarchical Equilibria of Branching Populations},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {9},
	year = {2004},
	keywords = {Multilevel branching, hierarchical mean-field limit, strong transience, genealogy},
	abstract = {Abstract. The objective of this paper is the study of the equilibrium behavior of a population on the hierarchical group $\Omega_N$ consisting of families of individuals undergoing critical branching random walk and in addition these families also develop according to a critical branching process. Strong transience of the random walk guarantees existence of an equilibrium for this two-level branching system. In the limit $N\to\infty$ (called the  hierarchical mean field limit), the equilibrium aggregated populations in a nested sequence of balls $B^{(N)}_\ell$ of hierarchical radius $\ell$ converge to a backward Markov chain on $\mathbb{R_+}$. This limiting Markov chain can be explicitly represented in terms of a cascade of subordinators which in turn makes possible a description of the genealogy of the population.},
	pages = {no. 12, 316-381},
	issn = {1083-6489},
	doi = {10.1214/EJP.v9-200},    
        url = {http://ejp.ejpecp.org/article/view/200}}